David Canter follows his concern that psychologists are losing contact with people by considering how computers are presented as replacements for human ‘intelligence’. This ignores the importance of in situ person to person contact, which has been shown by the COVID pandemic to be so crucial for people.
At the moment, little guidance, policy or oversight is available regarding technology, AI and academic integrity for teachers and educational leaders.
As I write this, I am using text-to-speech technology, a nifty online feature that enables the reader to listen to, rather than […]
The big idea The scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the emerging research output […]
Transcribing can be a pain, and although recent progress in speech recognition software has helped, it remains a challenge. Speech recognition programs, do, however, raise ethical/consent issues: what if person-identifiable interview data is transcribed or read by someone who was not given the consent to do so? Furthermore, some conversational elements aren’t transcribed well by pattern recognition programs.
Most institutions see the market as the only legitimate form of organization, but different visions towards public policy, some involving artificial intelligence, have been the subject of consideration from academics and politicians alike. Under what circumstances, and to what extent, could artificial intelligence replace the market as the end-all guiding force in crafting reasonable public policy? Brexit may play a leading role in the transition.
Outsourcing our memories — or actually forgetting once-vital skills that no longer matter in our daily lives — has always been with humanity. But how does the drift to artificial intelligence reflect what’s always been the case versus what should be a special case?
In the latest of its monthly series of interdisciplinary microsites addressing important public issues, SAGE Publishing is offering free access to a suite academic articles that focus on artificial intelligence.
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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